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Data Analyst Entry Level

Location:
Overland Park, KS
Posted:
October 22, 2024

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Resume:

Illia Danyliuk

Address: Overland Park, USA, ***** Phone number: +1-913-***-****

Email address: *.*.*******@*****.*** Web: https://www.linkedin.com/in/danyluk Status: Fully Work Authorized, Open to Relocation

Profile

Accomplished Data Analyst Professional boasting over two decades of expertise in data analysis, data mining, data preparation and data visualization, coding, and machine learning. Demonstrated proficiency in software development, database design, digital transformation, communication, collaboration, and academic research. Work experience

Data Analyst, Software Engineer

OnlineCorrector

01 /2016 – present SELF- EMPLOYED - AUTOMATED SPELL, GRAMMAR, AND STYLE- CHECKING APPLICATION Built up an exceptional Google Docs add-on, resulting in over 200K downloads and an accompanying MS Word macros application, from inception to completion.

Collaborated extensively with clients to identify their primary needs and ensure their satisfaction. Projected and implemented the add-on's front-end in compliance with Google Developers' guidelines. Created a comprehensive backend for the add-on, including the establishment and management of databases, and the development of advanced text-processing algorithms that adhere to over 10K rules. Configured and integrated a secure payment system, allowing for seamless and automated user data processing, ultimately making the add-on self-sufficient and highly profitable. Constructed the most widely accessed wiki-style reference resource for the Ukrainian language, attracting over 2M unique users in the past year.

Cloud Operations Engineer

IT Army of Ukraine

01 /2022 – present SELF- EMPLOYED - VOLUNTEER CYBERWARFARE ORGANIZATION Deployed, operated, and configured local and cloud-based virtual machines across VMware, AWS, MS Azure, Google Cloud Platform, and DigitalOcean, resulting in significant enhancements to the organization's operational efficiency.

Data Analyst

National Commission on the Standards of the State Language 01 /2021 – 12 /2022 FULL-TIME - STATE BODY FOR APPROVING THE STANDARDS OF THE UKRAINIAN LANGUAGE Successfully managed a national-level project to develop an Open edX platform for standardized language testing and certificate issuance to 200K+ civil servants and ex-pats. Led the digitalization efforts of essential public services in NCSSL, resulting in cost savings of over 50% of the allocated budget.

Analyzed and organized data on exams, students, examiners, locations, sessions, schedules, and system performance during the development phase, presenting findings in a visually appealing manner. Administered the examination process by collecting, cleaning, parsing, processing, analyzing, and visualizing data using SQL, big data text editors, table processors, scripts, and macros. Designed and configured databases for more than 10 internal teams, while also maintaining server and network hardware to optimize company maintenance expenses. Managed company's resources in the cloud, including deploying and manipulating VM, creating back-ups, configuring firewalls, and setting access rights.

Associate Professor

Vasyl' Stus Donetsk National University

09/2002 – 06/2022 FULL-TIME - ONE OF THE LEADING UKRAINIAN UNIVERSITIES Established and implemented a new bachelor and master program in applied and computational linguistics, attracting a student enrollment of over 200 individuals. Designed and delivered a comprehensive curriculum encompassing more than 10 applied and computational linguistics courses, specializing in the field of Natural Language Processing (NLP). Work experience

Spearheaded the creation and maintenance of multiple academic text corpora, involving the setup and management of servers, operating systems, and corpus software, as well as data collection, preparation, parsing, and lemmatization for academic research purposes.

Leveraged cutting-edge ML and DL frameworks such as TensorFlow and PyTorch for research and instructional activities.

Engineered applications for automating text data processing and compiling vocabulary, resulting in the publication of various dictionaries and grammar books. Data Engineer, Translation Team Leader

Rozetka

02 /2017 – 12 /2020 CONTRACT - THE BIGGEST NATIONAL ONLINE RETAILER Provided insights and suggestions for the development of the company's multilingual portal, utilizing analytical and technical expertise.

Successfully built and led a team of 30+ translators and proofreaders, effectively managing both in-person and remote hybrid teams.

Implemented an efficient and adaptable workflow using various CAT and QA tools, resulting in the translation of 90K words per day or 2.5M words per month, in compliance with new language legislation. Developed software for automation of data downloading and uploading, utilizing the company's API, text segmentation, and preprocessing techniques, as well as translation quality control measures. Provided support to the company's DevOps team in the creation of a new graphQL-based API, including the design of features, running tests, and developing client-side Python applications to meet the requirements of translators.

Education

Applied and Computational Linguistics, Ukrainian Language Master, PhD Vasyl Stus Donetsk National University

09/1997 – 06/2007 UKRAINE

Successfully defended PhD thesis titled "Syncretism in the parts of speech system" by conducting an in-depth analysis of a 130,000-unit dictionary database.

Developed an algorithm for detecting formal syncretism in the Ukrainian language, showcasing advanced computational and analytical skills.

Technical Skills

Python Java JavaScript SQL

BigQuery

Microsoft Excel

Google Sheets

Tableau

Microsoft Power Bi

EmEditor

R

Dataflow

Certificates

06/2023

Google Data Analytics

https://www.coursera.org/account/accomplishments/specialization/3QWJRMNCDWG5 12 /2022

Google Cloud Big Data and Machine Learning Fundamentals https://www.cloudskillsboost.google/public_profiles/3f67fcf0-e869-4c11-8d64-cbcac2dc737a/badges/2941535? utm_medium=social&utm_source=linkedin&utm_campaign=ql-social-share



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